Kass Green’s experience spans over thirty years of managing and supervising GIS and remote sensing professionals, as well as leadership in GIS and remote sensing research and policy. Her research includes innovations in automated change detection and machine learning for object oriented image classification. Over the last seven years, Ms. Green has had the pleasure of using object oriented techniques to create fine-scale vegetation maps of Grand Canyon National Park, the national parks of Hawaii, and Sonoma County, California from high resolution optical and lidar imagery. Her work in this area continues with her current fine scale vegetation mapping projects in Marin and San Mateo Counties, California.
Ms. Green is the past chair of NASA’s Earth Science Applications Committee, co-founded and chaired the Department of the Interior’s Landsat Advisory Group and has served on a variety of Federal Advisory Committees for NASA, NOAA and DOI. She has taught numerous workshops for ASPRS and federal agencies, is a fellow and an honorary member in the American Society of Photogrammetry and Remote Sensing (ASPRS), and a past president of both MAPPS and ASPRS. Her recent publications include the text Imagery and GIS, Best Practices for Extracting Information from Imagery (Green et al, 2018), and the third edition of Assessing the Accuracy of Remotely Sensed Data, Principles and Practices with Dr. Russell Congalton (Congalton and Green, 2019). Ms. Green’s career was recently showcased in the Esri Press book, Women and GIS – Mapping Their Stories. Deemed a “rock star of remote sensing” by Directions Magazine, her research and accomplishments in mapping and GIS are world renowned.